Baserow MCP Server

Name: Baserow
Availability: InStock
Author: Vinkius

baserow.io

Built by Vinkius GDPR ToolsFree

Manage no-code databases via Baserow — list tables, query rows, create records and manage schemas from any AI agent.

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Vinkius AI Gateway supports streamable HTTP and SSE.

✓ HostedCloud-managed

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High SecurityEnterprise-grade

IAMAccess control

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V8 IsolateSandboxed

Ed25519Audit chain

FinOpsBudget guard

<40msKill switch

DLPData protection

Stream every event to Splunk, Datadog, or your own webhook in real-time

Works with every AI agent you already use

…and any MCP-compatible client

What is the Baserow MCP Server?

The Baserow MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Baserow. Manage no-code databases via Baserow — list tables, query rows, create records and manage schemas from any AI agent. Powered by the Vinkius AI Gateway — no API keys, no infrastructure, connect in under 2 minutes.

Baserow MCP Server: see your AI Agent in action

AI Agent→Vinkius→Baserow

You

Vinkius AI Gateway

GDPR·High Security·Kill Switch·Ultra-Low Latency·Plug and Play

Built-in capabilities (10)

create_row

Requires the table ID and a JSON object with field_name: value pairs matching the table schema. Use list_fields to discover available field names. Returns the created row with its ID and all field values. Create a new row in a Baserow table

delete_row

Provide the table ID and row ID. WARNING: this action is irreversible. Delete a row from a Baserow table

get_row

Field names are returned in user-readable format. Provide the table ID and row ID. Get a specific row from a Baserow table

get_table

Provide the table ID from list_tables. Get details for a specific Baserow table

list_databases

Each database shows its ID, name, workspace and creation date. Use this to discover available databases before querying their tables. List all Baserow databases

list_fields

Each field shows its ID, name, type (text, number, boolean, date, single_select, long_text, link_row, file, etc.), order and required status. Use this to understand the data schema before querying or creating rows. List fields (columns) of a Baserow table

list_rows

Optionally filter by field values (using user_field_names) and set page/size for pagination. Results include count, next/previous page URLs and the rows array. Use field names (not IDs) for readable results. List rows in a Baserow table

list_tables

Each table shows its ID, name, database, field count and creation date. Use this to discover the data schema before querying rows. List all tables accessible in Baserow

list_views

Each view shows its ID, name, type, filter settings and sort rules. Useful for understanding how data is organized and filtered in the UI. List views configured for a Baserow table

update_row

Requires the table ID, row ID and a JSON object with field_name: value pairs for the fields to update. Only provided fields will be modified. Use list_fields to discover available field names. Update an existing row in a Baserow table

What this connector unlocks

Connect your Baserow databases to any AI agent and take full control of your data through natural conversation.

What you can do

Database Discovery — List all databases and tables the token has access to with their schemas
Schema Exploration — Browse table fields (columns) with their types (text, number, boolean, date, select, etc.)
Row Operations — List, create, update and delete rows with full CRUD support
Filtered Queries — Query rows with pagination, ordering and field-based filtering
View Management — List configured views (grid, gallery, kanban, form, calendar) with their filter and sort rules

How it works

1. Subscribe to this server
2. Enter your Baserow Database Token
3. Start managing your data from Claude, Cursor, or any MCP-compatible client

No more clicking through the Baserow UI to find a record or update a field value. Your AI acts as a dedicated database administrator.

Who is this for?

Product Teams — quickly query project tracking databases, update task statuses and review sprint data
Developers — discover table schemas, create records programmatically and manage database content via conversation
Data Analysts — explore data schemas, run filtered queries and export row data for analysis

Frequently asked questions

Log in to your Baserow workspace, go to Database Settings > API Tokens (or Workspace Settings > API Tokens), click Create Token, give it a name and set the permissions (create, read, update, delete) for specific tables. Copy the token immediately — it won't be shown again.

Yes! Use create_row with the table ID and a JSON object of field_name: value pairs. Use update_row with the table ID, row ID and the fields to update. First use list_fields to discover the available field names and their types for the table.

Yes! The list_rows tool supports pagination and ordering. Use the page and size parameters for pagination, and order_by to sort by any field (prefix with - for descending). The underlying API also supports field-level filtering through the filter parameter.

Baserow supports: text, number, boolean, date, long_text, email, url, single_select, multiple_select, link_row (relationships), file, rating, formula, lookup, rollup, last_modified and created_on fields. Use list_fields to see the exact types in your table.

Give your AI agents the power of Baserow

Access Baserow and 2,500+ MCP servers — ready for your agents to use, right now. No glue code. No custom integrations. Just plug Vinkius AI Gateway and let your agents work.